Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution

📰 ArXiv cs.AI

Evaluating LLM-based issue resolution with pass rates alone may not capture compliance with project-specific design constraints

advanced Published 8 Apr 2026
Action Steps
  1. Identify project-specific design constraints beyond test coverage
  2. Encode design constraints explicitly in code or documentation
  3. Develop evaluation metrics that incorporate design constraint compliance
  4. Assess LLM-based issue resolution performance using the new metrics
Who Needs to Know This

Software engineers and AI researchers on a team benefit from understanding the limitations of pass rates in evaluating LLM-based issue resolution, as it impacts the quality and maintainability of the code

Key Insight

💡 Pass rates alone are insufficient to evaluate LLM-based issue resolution, as they may not capture compliance with project-specific design constraints

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🚨 Pass rates don't tell the whole story in LLM-based issue resolution! 🤖
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